VDMA publishes guidelines on AI
Artificial intelligence for SMEs
In October, VDMA Bavaria presented the guide "Artificial intelligence - potential and implementation in SMEs".
The Fraunhofer Institute for Casting, Composite and Processing Technology IGCV and the Institute for Machine Tools and Industrial Management (iwb) at the Technical University of Munich were responsible for the scientific management of the project. The aim is to support medium-sized companies on their path to digitalization and provide them with concrete practical assistance.
The practical guide "Artificial intelligence - potential and implementation in SMEs" aims to establish a common understanding of artificial intelligence (AI) and promote its implementation in SMEs. Under the scientific leadership of Fraunhofer IGCV and the Institute for Machine Tools and Industrial Management (iwb) at the Technical University of Munich, a working group with 13 companies from the Bavarian capital goods industry has been developing the guide on the topic of artificial intelligence since the beginning of 2020.
The now published practical guide serves as an orientation aid and shows the individual potential of AI technologies for medium-sized companies. In addition to a compact introduction to the topic of artificial intelligence and a wide variety of practical examples, the guide provides an overview of how AI projects can be successfully implemented and how artificial intelligence methods can be made economically viable. "With the developed process model and the working materials provided, we give companies guidelines that they can use as a guide for the successful implementation of AI projects," explains Marcus Röhler, research associate at Fraunhofer IGCV.
Recognizing and using AI potential
To this end, the guide first looks at the basics of artificial intelligence and explains the most important terminology as well as the possible applications of AI projects and their added value for industrial companies. Numerous practical examples are then used to describe how AI potential can be identified and successfully exploited in your own company. How can AI projects be implemented in practice? How can the available database be evaluated? How can the findings be optimally documented? These questions are answered in the final part of the guide. "This makes the guide easily accessible for the company and extremely practical," says Guido Reimann, responsible for AI at the VDMA.
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